COMPUTATIONAL SCIENCES LECTURE SERIES (CSLS)

Great advances have been made in the acquisition
of image data, from conventional photography, CT scanning,
and satellite imaging to the now ubiquitous digital cameras
embedded in cell phones and other wireless devices. Although
the semantic understanding of the shapes and other objects
appearing in images is effortless for human beings, the corresponding
problem in machine perception-namely, automatic interpretation
via computer programs-remains a major open challenge in modern
science. In fact, there are very few systems whose value derives
from the analysis rather than collection of image data, and
this "semantic gap" impedes scientific and technological advances in many areas, including automated medical diagnosis, robotics, industrial automation, and effective security and surveillance.

In this CSLS Workshop, three distinguished experts in the field of Computational Vision and Image Analysis share their thoughts on the current state of the art and future directions in the field.